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The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

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GitHub Stars
46
Curated Resources
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10 hours ago
Last Refreshed
Deep Learning and RecommendationsMatrix FactorizationClick-Through-Rate(CTR) PredictionSurvey ReviewCollaborative Filtering RecommendationsContent-based RecommendationsProbability Graph Model and Byesian InferenceOther methods for RecommendationsHybrid Recommendations

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me click-through-rate(ctr) prediction resources from awesome-recsys-papers"

Installation instructions →

What's inside

Click-Through-Rate(CTR) Prediction

Deep Learning and Recommendations

Matrix Factorization

Collaborative Filtering Recommendations

Probability Graph Model and Byesian Inference

Other methods for Recommendations

Hybrid Recommendations

Content-based Recommendations

Showing a sample of 46 resources. View the full list on GitHub →